Sort by
Refine Your Search
-
Listed
-
Employer
- Instituto Superior de Engenharia do Porto
- University of Aveiro
- Association for the Development of Industrial Aerodynamics
- Universidade do Porto – HR
- FEUP
- Faculty of Sciences of the University of Porto
- INESC TEC
- Instituto Politécnico de Viana do Castelo
- Instituto Superior de Agronomia
- LNEC, I.P.
- Sim4Safety Lda.
- Universidade da Madeira
- 2 more »
- « less
-
Field
-
of autonomous monitoring units, including image sensors, edge computing units, batteries, solar panels, and LoRa/LTE communication modules. • Implementation of anonymous visitor detection and counting algorithms
-
Engineering, Electronics, Industrial Computing, or related fields, and demonstrate proven skills in: Embedded systems (MCU programming, tinyML); Programming in C/C++ and/or Python; Integration of sensor systems
-
will be responsible for: Implementing state-of-the-art fire spread algorithms in the fire simulator. Designing and implementing data input APIs to feed the fire simulator. Collaborating closely with
-
implementation of methods, algorithms, and applications for the Portuguese use case. - Specification and development of the Portuguese pilot implementation. - Active participation in meetings with
-
for planners and public authorities. Accordingly, the work plan includes: 1. Analysis of image databases classified according to the main construction attributes; 2. Development and calibration of AI algorithms
-
Advanced Remote Sensing Technologies, under the project reference no. 2023.16642.ICDT/COMPETE2030-FEDER-00886500. The main objective of this research work is to develop algorithms and methods combining multi
-
to the limit set out in the RBI-ISEP. 4. ACTIVITY OBJECT / WORK PLAN The work plan involves the following tasks: - Design and computational implementation of methods, algorithms, and applications
-
for joining the panels and flexible, customisable sensor systems for monitoring is also planned. The work plan therefore includes: 1) Development of the innovative LSF profile and numerical simulation
-
robots - Testing of sensor system robustness against adverse conditions - Testing developed systems in lab and outdoor environments - Production of scientific and technical reports. - Production
-
processing, storing and visualising sensor data for the acquisition of biophysical indicators for the early detection of forest fire risk situations (air temperature, wind speed and direction, relative air